The use of Artificial Intelligence has never been as widespread as it is today, sparking the desire to implement this technology in areas that bring the most benefits to your company’s operations. With 24/7 conversational support, optimization of document organization, and access to knowledge about projects and company capabilities, the applications are vast.
But how does this technology work behind the scenes? What types of development techniques enable this kind of integration?
Firstly, there’s an extensive range of options for incorporating AI capabilities: from the simplest to the most advanced solutions, from the most affordable to the more costly. Some companies choose to invest in powerful hardware to run high-performance, comprehensive AI, while others leverage existing infrastructure to run lighter versions. Interestingly, research is even underway into “biological computers”—actual neuron networks grown in labs—offering a new type of processing for AIs. However, for most companies, this is more theoretical, while commercial AI solutions remain the practical focus.
One of the easiest ways to implement this technology today is to outsource the AI development itself to a specialized company, such as OpenAI, and make calls to their APIs to answer customer questions. APIs act as “gateways” for receiving information from external servers based on parameters sent in specific paths (URLs) provided by the AI company. Through these requests and responses, you can adjust your application to reflect the desired state for the customer.
In a conversational system, additional functionalities can be integrated. For example, with SU.ai, your client can ask questions and receive answers by voice, in addition to text. In this case, the customer’s question can be recorded, the audio transcribed, and the answer converted into an audio file that vocalizes the response, offering a more dynamic and inclusive service.
Practical Examples
Many companies already use AI to enhance customer experience and operational efficiency. Banks, for example, have adopted virtual assistants to provide instant support and personalized consultations for account holders, while e-commerce companies use AI to recommend products based on purchase histories and individual preferences. These examples show how AI can adapt to different sectors, increasing relevance and accuracy in customer service.
Additional Benefits and Continuous Updates
SU.ai responds to clients using content you provide in PDF files and integrates all these interactions with intuitive animations, automatically understanding and replying in multiple languages, whether via text or voice. This model makes AI implementation more accessible and faster, without requiring a dedicated IT team to develop the system from scratch or create an in-house AI infrastructure. Additionally, by choosing solutions like SU.ai, your company benefits from automatic updates and continuous improvements, without concerns about technological maintenance.
Privacy and Data Security
When handling client data, it is essential to ensure that the information collected is treated ethically and securely. Solutions like SU.ai follow strict privacy protocols to ensure data security, aligning with data protection regulations like LGPD and GDPR, and providing transparency to the end user.
Training and Technical Support
Implementing AI may require an adaptation period for employees. Companies like SU.ai offer training and technical support to ensure that teams understand the technology and apply it effectively, maximizing the return on implementation.
With a well-structured AI integration, your company can focus on what truly matters: providing exceptional service and strengthening customer relationships, while the technology takes care of operational details, improving efficiency and quality in service. The next step to transform your business is within reach: find a specialized AI partner who understands not only the technology but also the needs of your sector.